Generative AI: Elevate your Data Engineering Career from Coursera

Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects.

Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation.

This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists and BI analysts.

You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI.

Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession.

Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.

What's inside

Syllabus

Data Engineering and Generative AI

In this module, you will acquire the necessary skills to use generative AI tools for data engineering effectively. You will learn some successful implementations of generative AI tools in databases, data warehousing schema design, data generation, augmentation, and anonymization. You will also learn how to use generative AI for infrastructure design.

Use of Generative AI for Data Engineering

This module will give you the skills and knowledge to effectively use generative AI to prepare data pipelines and ETL workflows. In addition, you will acquire skills in querying databases, data analysis, and data mining. You will also understand the importance of ethical practices in using generative models.

Final Project and Exam

In this module you will work on a real-world dataset and apply the skills acquired in this course to the test. You will use Generative AI to perform multiple Data Engineering operations in terms of planning, preparing and processing the data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for experienced and aspiring professionals in data engineering, data warehousing, data analysis, data science, and BI analysis

Provides knowledge and skills to enhance productivity through innovative approaches to data engineering projects

Covers a range of topics, from architecture design to data analysis, using generative AI

Features a hands-on project to demonstrate the application of generative AI in real-world data engineering tasks

Taught by Rav Ahuja and Abhishek Gagneja, experts in the field of data engineering

Career center

Learners who complete Generative AI: Elevate your Data Engineering Career will develop knowledge and skills that may be useful to these careers:

Data Engineer

A course that combines the theoretical power of Generative AI with the practical application of data engineering can help a Data Engineer perform their job better. This course will help build foundational knowledge of Generative AI models and how to use them for tasks such as data generation, augmentation, and ETL workflow.

See salaries and explore the career path for Data Engineer

Data Scientist

This course is a valuable resource for job seekers who want to work as a Data Scientist. Generative Adversarial Networks (GANs) and other Generative AI techniques are an important new tool for data scientists and proficiency with them is an excellent way to future-proof your career.

See salaries and explore the career path for Data Scientist

Database Administrator

The course combines the theoretical power of Generative AI with the practical application of database administration, which can help one perform their job better. This course will help build foundational knowledge of Generative AI models and how to use them for tasks such as data augmentation, data anonymization, and database querying.

See salaries and explore the career path for Database Administrator

Machine Learning Engineer

This course may be useful for a Machine Learning Engineer who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of Generative AI solutions in the real-world.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

This course may be useful for a Data Analyst who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to data analysis in the real-world.

See salaries and explore the career path for Data Analyst

Software Developer

This course may be useful for a Software Developer who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of AI solutions in the real-world.

See salaries and explore the career path for Software Developer

Research Scientist

This course may be useful for a Research Scientist who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of AI solutions in the real-world.

See salaries and explore the career path for Research Scientist

Product Manager

This course may be useful for a Product Manager who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of AI solutions in the real-world.

See salaries and explore the career path for Product Manager

Data Architect

This course may be useful for a Data Architect who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of AI solutions in the real-world.

See salaries and explore the career path for Data Architect

Business Analyst

This course may be useful for a Business Analyst who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of AI solutions in the real-world.

See salaries and explore the career path for Business Analyst

Project Manager

This course may be useful for a Project Manager who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of Generative AI projects in the real-world.

See salaries and explore the career path for Project Manager

Systems Analyst

This course may be useful for a Systems Analyst who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of Generative AI solutions in the real-world.

See salaries and explore the career path for Systems Analyst

Technical Writer

This course may be useful for a Technical Writer who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the creation of documentation for Generative AI solutions in the real-world.

See salaries and explore the career path for Technical Writer

Computer Scientist

This course may be useful for a Computer Scientist who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of Generative AI solutions in the real-world.

See salaries and explore the career path for Computer Scientist

Statistician

This course may be useful for a Statistician who wants to learn more about Generative AI. Many of the foundational concepts taught in this course can be applied to the development of Generative AI solutions in the real-world.

See salaries and explore the career path for Statistician